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位移预报
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  displacement prediction
     Based on the fact that the Elman model of neural network tool-box in MATLAB can well approach any nonlinear continuous function and has ability to reflect dynamic features of the systems, a method of dam displacement prediction by Elman model is presented.
     根据MATLAB的Elman神经网络模型能够逼近任意非线性函数的特点和具有反映系统动态特性的能力,提出了一种利用Elman神经网络建立大坝位移预报模型的方法。
短句来源
     WHP Back-Analysis of Soil Parameters and Displacement Prediction of Retaining Wall in Deep Excavation Pit
     深基坑工程土体参数WHP法反演计算及挡墙位移预报
短句来源
  displacement forecast
     DISPLACEMENT FORECAST FOR CONCRETE DAMS WITH ITERATIVE SELF-ORGANIZING DATA METHOD
     用逐步模糊聚类分析法进行混凝土坝的位移预报
短句来源
     APPLICATION OF SELF-ADAPTIVE TIME SERIES MODEL TO DISPLACEMENT FORECAST IN UNDERGROUND ENGINEERING
     自适应时序模型在地下工程位移预报中的应用
短句来源
     This paper dealt with the displacement monitoring during the excavation of large caverns in rock, including measuring system arrangement, displacement forecast principle, stability analysis eriterion, etc. , and described the monitoring process used at the Pumping Storage Power Station in Guangzhou.
     本文针对广州抽水蓄能电站大型地下厂房(主厂房与主变室)围岩变形的位移预报与施工监控问题,研究了计算模型的建立,计算参数的选择,位移预报原理,位移量测系统和施工监控准则,根据得出的主要计算结果分析了洞室围岩的稳定性,结合工程实践全面系统地建立了位移预报的理论和方法。
短句来源
  “位移预报”译为未确定词的双语例句
     Prediction of Lateral Displacement of the Diaphragm Wall in Deep Excavation
     深基坑开挖过程中地下连续墙侧向位移预报分析
短句来源
     Application of the Permafrost Table Temperature and Thermal Offset Forecast Model in the Tibetan Plateau
     青藏高原多年冻土顶板温度和温度位移预报模型的应用
短句来源
     With the deformation monitoring of Shuikou concrete gravity dam in Fujian province as an example, BP networks model is established for the real measurement of vertical displacement of the dam crest, which can also be used in forecasting the vertical displacement of dam crest. The outcome shows that the accuracy of BP networks model is obviously superior to that of statistic model.
     针对目前国内外常用统计模型、确定性模型等的不足 ,提出将基于误差逆传播算法的 BP神经网络模型用于大坝变形监测数据的拟合分析及其预测预报研究 ,最后以福建水口混凝土重力坝变形监测为例 ,对坝顶垂直位移实测值建立了 BP网络模型 ,并将模型用于坝顶垂直位移预报 ,结果表明 ,BP网络模型的拟合和预报精度明显优于相应的统计模型。
短句来源
     Application of Non linear Time Serics Analysis Model to Displacement Forecasting in Underground Engineering
     非线性时序分析模型在地下工程位移预报中的应用
短句来源
     This paper Applies the theory of Artificial intelligence and associating to study slope stability analysis and deformation prediction, it renders the slope stability analysis system based on Genetic Simulated Annealing Algorithms and Non-linear Time series predictive model based on Improved BP Genetic Natural Network model, and compiles relevant programs, so that make the studying on slope stability and deformation intelligent in a sense.
     本论文运用人工智能的基本知识,结合研究边坡稳定性评价及位移预报,建立了基于遗传—模拟退火算法的边坡工程稳定性分析评价系统以及基于遗传—改进BP神经网络模型的边坡变形的非线性时间序列的预测模型,并编制了相应的计算程序,使边坡稳定性和变形的研究在一定程度上达到智能化。
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  相似匹配句对
     Measurement of Cross-fault Displacement and the Earthquake Prediction
     跨断层位移测量与地震预报
短句来源
     Displacement Monitoring and Landslide Forecast on the Rock Slope of Open-pit Mine
     露天矿边坡的位移监测与滑坡预报
短句来源
     Forecasting volcanic eruptions
     预报火山喷发
短句来源
     A study of displacement
     位移的研究
短句来源
     AN ANALYSIS OF DISPLACEMENT
     位移分析
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  displacement predictions
For load case 1, the modified quasi-static method gives higher displacement predictions than the standard Biggs method.
      
Results in experiment II also show that the displacement predictions for soft joints were better than for medium joints.
      


The main body of LIUJIAXIA DAM is a concrete gravity dam with maximum height of 147m and six levels of galleries. The measuring Points of horizontal displacement of the dam adopted in this paper are embedded in 1660 Gallery and observed with small angle collimation and laser collimation.In this paper, the observation data are analyzed by the regression method. The results are employed in prediction of horizontaldisplacement which is highly accurate. At the end, the paper presents the author's view of whole working...

The main body of LIUJIAXIA DAM is a concrete gravity dam with maximum height of 147m and six levels of galleries. The measuring Points of horizontal displacement of the dam adopted in this paper are embedded in 1660 Gallery and observed with small angle collimation and laser collimation.In this paper, the observation data are analyzed by the regression method. The results are employed in prediction of horizontaldisplacement which is highly accurate. At the end, the paper presents the author's view of whole working process.

刘家峡主坝为混凝土重力坝。最大坝高为147米。坝内在不同高度设有六层廊道。本文分析的水平位移测点即设于1660廊道。1660廊道水平位移是用小角度视准法如波带板激光准直法。本文对观测资料,用回归方法做了分析,并利用分析结果作了位移预报,预报精度高。对整个工作过程作者谈了自己的看法。

The establishment of mathematical interpretative model for evaluating dam behaviour is the key to the realization of automatic menitoring for dam safety. In this Paper, the forecasting models for monitoring dam displacement is discussed. The horizontal displacement and settlement of the second channel sluice during the first impound and preliminary operation of Gezhouba project is taken as an example to study approach of establishing of the deterministic andhybrid displacement forecasting model based on the...

The establishment of mathematical interpretative model for evaluating dam behaviour is the key to the realization of automatic menitoring for dam safety. In this Paper, the forecasting models for monitoring dam displacement is discussed. The horizontal displacement and settlement of the second channel sluice during the first impound and preliminary operation of Gezhouba project is taken as an example to study approach of establishing of the deterministic andhybrid displacement forecasting model based on the correlative between environmental cause—quantity and measured effect—values. Through comparing the values observed in situ, it has been proved the forecasting of displacement is reasonable and reliable.

建立大坝性状的数学解释模型是实现监测自动化的关键问题之一。本文对大坝变形资料的数学解释模型进行剖析,结合葛洲坝工程二江泄水闸蓄水期及运行初期的沉陷及水平位移资料分析,探讨了在环境原因量与运行效应量之间建立决定论模型及混合位移预报模型的途径。通过与实测资料分析比较,验证所建立的位移预报模型是比较合理可靠的

Vegetables supply on state markets is often insufficient after a heavy rain during summer off season (from Aug. to Oct.). According to a method of forced vibration the author considered the capacity of vegetables production in suburbs as spring vibrator and the heavy rain as external force. With the vibrator vibrating under the action of external force, the negative displacement was used for forecasting the vegetables lacking period and vegetables supply amount on market in this period.

每年蔬菜夏淡季(8—10月)强降水后,城市国营蔬菜供应往往出现缺口。本文借助受迫振动方法,将市郊蔬菜生产能力看作弹簧振子,强降水看作外力,振子受外力作用作强迫振动。以它的负位移预报缺菜时段及该段内的上市量。

 
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